An Algorithm for Obtaining Event Big Data Information Based on Symbolic Features

Abstract

The invention discloses a symbol characteristic based algorithm for obtaining big data information of an event. The algorithm comprises the following steps of: step 1: obtaining a decimal time sequence {xn} of the event and setting total length of sampling; step 2: setting to-be-encoded binary symbol length L and sampling time delay tau; step 3: calculating a mean value mu of the decimal time sequence {xn}; step 4: using mu as a dividing line P0 of two symbol domains 0 and 1, and setting a threshold function; step 5: widely applying the threshold function to {xn}, and changing an element xn of the decimal time sequence {xn} into an element sn in a binary symbol sequence {sn} according to the binary symbol length L and the sampling time delay tau to construct the binary symbol sequence {sn}; step 6: carrying out decimal coding on {sn}, and changing {sn} into a decimal symbol code sequence {Sn}; and step 7: making statistics on the occurrence frequency Pn of each symbol code Sn in {Sn} to form a symbol code Sn-frequency Pn histogram. According to the algorithm disclosed by the invention, the explicitation of big data characteristics is achieved, so that whether the decimal time sequence {xn} of the representative event has the big data characteristics can be conveniently determined.

Description

technical field [0001] The invention relates to an algorithm for acquiring event big data information based on symbol features. Background technique [0002] For "Big data" (Big data) research organization Gartner has given this definition: "Big data" is a massive, high-growth and Diverse information assets. [0003] For such as figure 1 What are the big data characteristics of the decimal time series describing a generalized event as shown? If there are big data features, how to get the big data features? The method of obtaining big data in the prior art is not unique. This patent proposes an algorithm for obtaining event big data information based on symbolic features. Contents of the invention [0004] In view of the above problems, the present invention provides an algorithm for obtaining event big data information based on symbolic features, which realizes the explicitization of big data features and facilitates the determination of the corresponding decimal symbo...

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Problems solved by technology

[0003] For such as figure 1 What are the big data characteristics of the decimal time series describing a generalized event as shown? If there are big data features, how to get the big data features? The method of obtaining big data in the prior art is not unique. This patent proposes an algorithm for obtaining event big data information based on symbolic features

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